Senior Data Scientist - Real-World Evidence (Remote)

Cardinal Health, Inc.; Salem (OR); Remote; USD 125,000 - 179,000; Full time

Benefits offered by this job

Medical, dental and vision

Paid time off

HSA

401k savings plan

MyFlexPay

FSAs

Disability coverage

Work-Life resources

Parental leave

Wellness programs

Job summary

Cardinal Health, Inc. is seeking a Sr. Data Scientist for Specialty Networks Solutions.

Lead end-to-end real-world data products, ensure data quality, and unlock commercial and clinical value for life sciences clients. You’ll work across healthcare data ecosystems including EHRs, claims, and lab data, applying ML to complex datasets. The role requires deep domain expertise, strong SQL and Python/R skills, and collaboration with engineering and client teams.

Qualifications

• 8+ years in data science, advanced analytics, healthcare data, or real-world evidence.
• Bachelor's degree in related field, or equivalent work experience.
• Advanced degree in statistics, epidemiology, or related field preferred.
• Experience with complex healthcare datasets (EHR, claims, lab data).
• Proficiency in SQL and at least one language like R or Python; Databricks experience.

Responsibilities

• Define governed definitions for high-priority derived variables.
• Set QC rules for each transformation step and trace anomalies.
• Document pipeline and data model including decision logic.
• Harden data assets and pipelines for production reliability and regulatory defensibility.
• Collaborate with engineering to deliver scalable data products.
• Present findings to technical and non-technical audiences.

Skills

SQL

Python

R

Data science

Healthcare data

Stakeholder management

Education

Bachelor's degree

Advanced degree preferred

Tools

Databricks

Job description

Cardinal Health, Inc. is seeking a Sr. Data Scientist for Specialty Networks Solutions.

Lead end-to-end real-world data products, ensure data quality, and unlock commercial and clinical value for life sciences clients. You’ll work across healthcare data ecosystems including EHRs, claims, and lab data, applying ML to complex datasets. The role requires deep domain expertise, strong SQL and Python/R skills, and collaboration with engineering and client teams.